An incentive mechanism design using CCHP-based microgrids for wind power accommodation considering contribution rate

Guo, Jiqun; Yang, Li; Shen, Yunwei; He-feng, Li

doi:10.1016/j.epsr.2020.106434

Cited by 10 publications

(1 citation statement)

References 32 publications

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“…In terms of solving methods, some scholars generate random scenarios of wind power output through uncertain probability density functions and use the stochastic optimization algorithm to calculate the optimal operation strategy [27,31,32]. Some scholars reduce the generated random scenarios and then use the piecewise linearization method [33] or directly use the intelligent algorithm to solve the problem [34,35]. Some scholars use the robust optimization algorithm to solve the problem [28,29].…”

Section: Introductionmentioning

confidence: 99%

Research on Comprehensive Value of Electrical Energy Storage in CCHP Microgrid with Renewable Energy Based on Robust Optimization

Zhao

Wang

et al. 2020

Energies

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The combined cooling, heating, and power (CCHP) microgrid system is good for energy gradient utility. At the same time, it can promote the renewable energy (RE) consumption and abate environmental pollution. In a CCHP microgrid system, the electrical energy storage (EES), which can storage and release electrical energy, plays an indispensable role. A robust optimization model of the CCHP microgrid participating in power market transaction is constructed to calculate the CCHP microgrid operation cost in 4 cases. The results show that the EES can significantly reduce the cost of the CCHP microgrid by 13.21%, compared with 8.36% in Group 1 without renewable energy. The EES can reduce the reserved capacity of micro gas turbine units to deal with the precariousness of RE generation and then reduce the CCHP microgrid operation cost by reducing the purchase of energy from the power grid and arbitrage. Finally, the calculation method of comprehensive value of the EES is constructed. The comprehensive value of the EES is higher in Group 2 with renewable energy compared with Group 1 without renewable energy. Through net present value (NPV) calculation and sensitivity analysis, it is found that the RE penetration level and EES cost have the greatest impact on the economic performance of EES. This shows that with the continuous rising of the RE penetration level and the gradual decrease of EES cost, great potential still waits to be tapped in the comprehensive value of EES in the future.

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